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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 3692
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    INDEX
    Explanations

    mentions of actions or beliefs that are anticipated or foreseen

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future actions or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amps
    -0.66
    engineering
    -0.63
     Measures
    -0.62
     Romeo
    -0.62
    eatured
    -0.62
    Plan
    -0.62
    Reporting
    -0.61
    AMA
    -0.60
     Theme
    -0.60
    quished
    -0.60
    POSITIVE LOGITS
     gladly
    1.19
     doubtless
    1.12
     inevitably
    1.11
     undoubtedly
    1.11
     be
    1.09
     surely
    1.08
     likely
    1.03
     eventually
    1.02
     probably
    0.99
     never
    0.96
    Activations Density 0.219%

    No Known Activations